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Distinct preference for spatial frequency content in ventral stream regions underlying the recognition of scenes, faces, bodies and other objects.
Canário, Nádia; Jorge, Lília; Loureiro Silva, M F; Alberto Soares, Mário; Castelo-Branco, Miguel.
Afiliación
  • Canário N; IBILI - Institute for Biomedical Imaging in Life Sciences, Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba - Celas, 3000-548 Coimbra, Portugal; ICNAS - Institute for Nuclear Sciences Applied to Health, Brain Imaging Network of Portugal, Portugal.
  • Jorge L; IBILI - Institute for Biomedical Imaging in Life Sciences, Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba - Celas, 3000-548 Coimbra, Portugal; ICNAS - Institute for Nuclear Sciences Applied to Health, Brain Imaging Network of Portugal, Portugal.
  • Loureiro Silva MF; IBILI - Institute for Biomedical Imaging in Life Sciences, Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba - Celas, 3000-548 Coimbra, Portugal.
  • Alberto Soares M; CHUC - Coimbra University Hospital, Department of Ophthalmology, Coimbra, Portugal.
  • Castelo-Branco M; IBILI - Institute for Biomedical Imaging in Life Sciences, Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba - Celas, 3000-548 Coimbra, Portugal; ICNAS - Institute for Nuclear Sciences Applied to Health, Brain Imaging Network of Portugal, Portugal. Electronic address: mcbranco@fmed.uc
Neuropsychologia ; 87: 110-119, 2016 07 01.
Article en En | MEDLINE | ID: mdl-27180002

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Encéfalo Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuropsychologia Año: 2016 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Encéfalo Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuropsychologia Año: 2016 Tipo del documento: Article País de afiliación: Portugal